A flux system includes a memory and a processor in communication with the memory and a sensing device, the memory storing a plurality of capabilities and a plurality of semantic fluxes associated with the plurality of capabilities. The computing system is configured to infer a semantic based on received inputs and to infer an activity interest semantic based on an input, and to assign a servicing agent to service an activity interest based on semantic matching.

Input shapers for control inputs to the robotic surgical system and their method of controlling a linkage of a robot with a controller includes receiving a desired joint angle of a joint of the robot; and transmitting a first control signal to a motor to actuate the joint in response to a desired joint velocity, the desired joint velocity being a function of the desired joint angle and a current joint angle of the joint.

Apparatuses, systems, and techniques are described that solve task and motion planning problems. In at least one embodiment, a task and motion planning problem is modeled using a geometric scene graph that records positions and orientations of objects within a playfield, and a symbolic scene graph that represents states of objects within context of a task to be solved. In at least one embodiment, task planning is performed using symbolic scene graph, and motion planning is performed using a geometric scene graph.

A wire-driven manipulator including a driver, a first deforming section including a first distal member, a plurality of first guide members, and a plurality of first wires, and a second deforming section provided between the first deforming section and the driver with the second deforming section including a second distal member, a plurality of second guide members, and a plurality of second wires. The plurality of first wires are fixed to the first distal member, and at least one of the plurality of first wires is further fixed to the plurality of first guide members and other wires of the plurality of the first wires are slidable with respect to the plurality of first guide members. The plurality of second wires are fixed to the second distal member, and at least one of the plurality of second wires is further fixed to the plurality of second guide members and the other wires of the plurality of the first wires are slidable with respect to the plurality of second guide members. In addition, the length of the first deforming section is shorter than the length of the second deforming section.

In some implementations, a robotic device may receive, from a first light detection and ranging (LIDAR) sensor and a second LIDAR sensor, calibration data associated with a physical environment of a robotic arm of the robotic device. The robotic device may determine, based on the calibration data, a configuration of a boundary for the robotic arm. The robotic device may position, relative to the robotic arm, the first LIDAR sensor at a first position and the second LIDAR sensor at a second position to sense an activity within the boundary. The robotic device may monitor the boundary based on first sensor data from the first LIDAR sensor and second sensor data from the second LIDAR sensor. The robotic device may disable, based on the first sensor data or the second sensor data indicating the activity associated with the boundary, the robotic arm from moving within the boundary.

A control apparatus of a robot may include a state obtaining unit configured to obtain state observation data including flexible related observation data, which is observation data regarding a state of at least one of a flexible portion, a portion of the robot on a side where an object is gripped relative to the flexible portion, and the gripped object; and a controller configured to control the robot so as to output an action to be performed by the robot to perform predetermined work on the object, in response to receiving the state observation data, based on output obtained as a result of inputting the state observation data obtained by the state obtaining unit to a learning model, the learning model being learned in advance through machine learning and included in the controller.

The present disclosure generally relates to the field of robotics and computer animation, more particularly, method and apparatus to solve the inverse kinematics problem to control a kinematic chain such as a robot arm or an animation character's skeleton to reach a target position. The new method simulates a kinematic chain whose links and joints are elastic and can be distorted. The method distorts the kinematic chain to move its end to the target position, calculates distortions, and iteratively adjusts link and joint configurations of the kinematic chain to reduce distortions while keeping its end at the target position until a solution with near zero distortions is found. The resulting link and joint configurations of the simulated kinematic chain then can be used for the actual kinematic chain to reach the same target position.

A robotic post system includes one or more composable robotic posts each having a processor and a memory. At least one composable post includes a set of modules including one or more pairable latches which is configured to couple and lock with another pairable latch from among another set of modules included on another of the composable posts, such that the composable robotic posts form a composable carrier structure defined by the composable robotic posts.

Embodiments of the present invention include a collaborative manufacturing system utilizing a plurality of mobile agents. The mobile agents operate dual robotic arms to improve single and multi-material builds' efficiency. In some embodiments, the dual robotic arms work together in the same area to create multi-functional components. In addition, the mobile agents can change tool heads on the arms to allow for hybrid manufacturing such as pick and place, additive, and subtractive manufacturing. One or more mobile agents interact with other mobile agents, thereby increasing the end product's efficiency and quality. Mobile agents utilize swarm manufacturing techniques to improve the manufactured product's time efficiency further and use machine learning to adjust and re-assign mobile agents constantly.

Disclosed is an integral self-monitoring soft actuator including a body portion configured to be driven by deformation due to stimulation; a first limiter integrally formed with respect to the longitudinal direction of the body portion to limit deformation of the body portion in the longitudinal direction; a second limiter that limits deformation of the body portion in the radial direction by including at least a pair of electrodes in a spiral shape integrally provided on the outer surface of the body portion; and a controller for controlling motion of the body portion, wherein the controller self-monitors deformation of the body portion by self-sensing changes in the intervals between the electrodes according to deformation of the body portion. According to the above configuration, deformation of the body portion may be self-detected in real time using the second limiter integrally provided with the body portion, thereby improving control efficiency.